Gender: Male 
Age: 25-34
Nationality: United States
Ethnicity: Hispanic 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Prefer not to say
Mother's education: Graduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 6
Home: Own 
Employment: Employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to rock/indie music;Go to gigs;Use social media;Do arts and crafts;Attend football matches;Watch sports;Exercise 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Completing assignments;Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge;Summarizing long texts;Collecting references 
Contexts of LLM use: Work;School/University;Entertainment;Learning;Personal;Creative or artistic 
Prompt 1: Generate simple bulletpoint notes based on global warming
Prompt 2: Write a list of art prompts for a project based on the elements of art
Prompt 3: Generate some art ideas to get me out of art block
Prompt 4: What is a good way to start off an essay about child development in the ages 3 to 7 years old 
Prompt 5: What are some good qualities to have on a resume 
Prompt 6: What are some good points to make during an interview and how can I address my flaws
Prompt 7: What is a good recipe for brownies from scratch
Prompt 8: Generate some tips for studying for a proctored exam
Prompt 9: How to implement the elements of art into a simple sketch
Prompt 10: What are the best plants to grow during the colder months in California